Remote Sensing Image Mixed Noise Denoising with Noise Parameter Estimation

2020 ◽  
pp. 325-333
Author(s):  
Mutian Wang ◽  
Sijie Zhao ◽  
Xun Cao ◽  
Tao Yue ◽  
Xuemei Hu
Keyword(s):  
Remote Sensing ◽  
Parameter Estimation ◽  
Remote Sensing Image ◽  
Noise Parameter ◽  
Mixed Noise

scholarly journals On required accuracy of mixed noise parameter estimation for image enhancement via denoising

2014 ◽  
Vol 2014 (1) ◽  
Author(s):  
Victoriya V Abramova ◽  
Sergey K Abramov ◽  
Vladimir V Lukin ◽  
Karen O Egiazarian ◽  
Jaakko T Astola
Keyword(s):  
Parameter Estimation ◽  
Image Enhancement ◽  
Noise Parameter ◽  
Mixed Noise

The Study of Combination Filtering for Removing Mixed Noise of Remote Sensing Image

2014 ◽  
Vol 989-994 ◽  
pp. 3881-3884 ◽  
Author(s):  
Cui Zhou ◽  
Jing Hong Zhou ◽  
Dong Hao Fan
Keyword(s):  
Remote Sensing ◽  
Median Filter ◽  
Practical Method ◽  
Remote Sensing Image ◽  
Gaussian Mixture ◽  
Wiener Filtering ◽  
Filter Method ◽  
Practical Application ◽  
Residual Noise ◽  
Mixed Noise

The traditional combination filter method in the practical process is often two layers of composite filtering de-noising for the image containing the gaussian mixture noise and pulse noise. This paper proposes a three filter combination algorithm based on the two layers filters, To the Gaussian and pulse mixed noise of the remote sensing image, we use wavelet threshold de-nosing and adaptive median filter de-nosing, and then using the third layer adaptive Wiener filtering de-noising to remove the residual noise. Through theoretical analysis and practical application, the de-nosing results of this method is obvious in processing mixed noise of remote sensing image, this is a practical method of combination filtering de-noising, it can be widely used in the field of image processing.

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